14 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at Leiden University
Sort by
Refine Your Search
-
to develop engineering interventions to improve plant regeneration, seed longevity and defenses against disease. Your task will be to further develop two-dimensional and three-dimensional models of plant
-
learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
-
), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
-
. These differences are partly driven by genetic variation, which influences cellular pathways involved in toxicity. Understanding this variation is essential for developing future safety testing strategies
-
PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
holiday (8%) and end-of-year bonuses (8.3 %), training and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses
-
curious and driven scholar who enjoys sharing knowledge. In addition, you should have: Successfully completed a (Research) Master’s degree in linguistics. Demonstrable teaching experience, preferably in
-
end-of-year bonuses (8.3 %), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international
-
modelling results into long-term biodiversity impact indicators and characterization factors for offshore wind farms over their operational lifetime. Developing integrated cumulative impact and scenario
-
, focusing in particular on perception, working memory and cognitive control in younger and older (70-80 years) adults Performing advanced data analyses, including computational modelling of behavioural data
-
environmental assessment, offshore wind energy systems, biodiversity impacts, and life cycle assessment (LCA)? Are you interested in developing novel approaches to assess the ecological impacts of offshore wind